In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.
Abstract: Wireless Internet of Things (IoT) Sensor Networks (WIoTSNs) are frequently deployed in resource-constrained environments where security threats pose significant challenges. Existing ...
Abstract: In an era marked by rapid technological advancements and a global shift toward cashless transactions, credit card fraud has emerged as a significant challenge, causing substantial financial ...
The model minimizes the mean-squared reconstruction loss: L(θ) = E[‖x − f_θ(x_noisy)‖²] Beyond basic denoising, the project systematically studies how architectural choices (FC vs. CNN vs. LSTM), ...
Production-ready end-to-end system that predicts road accident probability (0-1 score) using LSTM deep learning model. Features FastAPI backend, Streamlit frontend, synthetic dataset generation, and ...
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